Small-molecule targeted therapies have demonstrated outstanding potential in the clinic. These drugs are designed to minimize adverse effects by selectively attacking cancer cells while exerting minimal damage to normal cells. Although initial response to targeted therapies may be high, yielding positive response rates and often improving survival for an important percentage of patients, resistance often limits long-term effectiveness. On the other hand, immunotherapy has demonstrated durable results, yet for a limited number of patients. Growing evidence indicates that some targeted agents can modulate different components of the antitumor immune response. These include immune sensitization by inhibiting tumor cell–intrinsic immune evasion programs or enhancing antigenicity, as well as direct effects on immune effector and immunosuppressive cells. The combination of these two approaches, therefore, has the potential to result in synergistic and durable outcomes for patients. In this review, we focus on the latest advances on integrating immunotherapy with small-molecule targeted inhibitors. In particular, we discuss how specific oncogenic events differentially affect immune response, and the implications of these findings on the rational design of effective combinations of immunotherapy and targeted therapies.

Over the past decade, immunotherapy has cemented its status as a vital component of cancer care. In particular, immune checkpoint blockade (ICB) agents, most notably inhibitors of the PD-1/PD-L1 and CTLA-4 pathways, have become standard-of-care for many solid and hematologic malignancies, leading to durable results and improved long-term protection from relapse. This latter effect is likely mediated by the induction of an adaptive immune memory capable of eradicating otherwise obstinate tumor cells. Despite their broad applicability, however, ICB benefits only a limited number of patients. Best durable responses have been observed in melanoma, where 5-year survival was reported at 26% for ipilimumab (anti-CTLA-4) and 44% for nivolumab (anti-PD-1), and non–small cell lung cancer (NSCLC), where overall survival approximates 16% after 5 years (1, 2). In an effort to harness this unique potential, the research field has seen a revamped focus on understanding how current and new therapies can influence antitumor immune response. In fact, multiple strategies aiming to potentiate immunotherapy are currently under preclinical and clinical investigation. Conventional cancer therapies and small-molecule targeted inhibitors have been shown to modulate various components of tumor immunity and response to immunotherapy (3–5). Targeted agents, in particular, exert these effects by altering mechanisms of immune escape encoded by oncogenic pathways in tumor cells. Therefore, a deeper understanding of how specific oncogenic events shape tumor immunity will prove crucial to the successful development of immunomodulatory strategies. To this end, targeted therapies are ideally situated to block or enhance relevant pathways while exerting minimal damage to normal cells.

The process by which tumor cells evade immune surveillance can be better understood through the concept of immunoediting (1, 6). Initially, malignant cells are regularly detected and eliminated by the immune system through recognition of immunogenic antigens and generation of an innate and adaptive immune response. Acute inflammation activates innate immunity, leading to dendritic cell (DC) maturation and subsequent priming of T cells, which are central to the antitumor response. This constant pressure, however, may act to select for tumor cells that are able to escape immune attack and remain in equilibrium until further changes promote overt tumor growth. This final process is usually accompanied by a shift from acute to chronic inflammation and the establishment of an immunosuppressive tumor microenvironment (TME) via recruitment of immune suppressive cells whose normal function is to dampen immune response, including regulatory T cells (TRegs), protumorigenic tumor-associated macrophages (TAM) and myeloid-derived suppressor cells (MDSC), which further facilitate tumor growth. As a consequence, T cells in general become exhausted or dysfunctional, and therefore unable to mount an effective antitumor response (Fig. 1).

Figure 1.

Generation of an immune suppressive TME. (1) Regulatory T cells (TRegs) suppress immune response via direct cell contact and humoral mechanisms. TRegs constitutively express CTLA-4, which binds to CD80 and CD86 on antigen-presenting cells, such as DCs, leading to impaired DC maturation and blocking binding of CD80/CD86 to CD28 on conventional T cells, thereby preventing costimulation and T-cell activation. Moreover, TRegs can directly target effector T cells (TEff) and NK cells for destruction by secreting cytotoxic granzymes and perforin. Secretion of inhibitory cytokines such as TGFβ, IL10, and IL35 further inhibit anti-tumor immune response. (2) TAMs are a major component of the immune infiltrate in solid tumors. Chronic inflammation within the TME and production of IL4 and IL13 by TH2 cells and IL10 by TRegs induce protumorigenic macrophage polarization. In turn, TAMs exacerbate immune suppression by releasing cytokines such as IL10 and TGFβ that suppress TEff and NK cells but stimulate TRegs. Protumorigenic TAMs also upregulate metabolic enzymes such as IDO-1 and Arg-1, which can severely affect the composition of the immune infiltrate by competing for catabolism of nutrients. In addition, TAMs can directly inhibit T cells by expressing immune checkpoint ligands PD-L1 and PD-L2. (3) MDSCs are a heterogeneous population of immature myeloid cells that accumulate in response to chronic inflammation and fail to differentiate into mature cells. MDSCs secrete significant levels of IL10 and TGFβ, thereby inducing TReg accumulation and pro-tumorigenic macrophage polarization, while simultaneously inhibiting TEff and NK cells function and activation. Furthermore, MDSCs promote metabolic stress by dramatically depleting nutrients needed for T-cell function. (4) Oncogenic events can directly and indirectly inhibit immune response by multiple mechanisms: a) Numerous cytokines secreted by tumor cells, including TGFβ, IL10 and the proangiogenic molecule VEGF, promote recruitment of immune suppressive cells. b) Downregulation of proinflammatory chemokines, including CCL3, CCL4 and CCL5, and CXCR3 ligands such as CXCL9 and CXCL10 result in decreased DC and T-cell recruitment and impaired T-cell priming/activation. c) Expression of PD-L1 and direct inhibition of T-cell effector function by tumor cells has been observed in numerous cancer types. PD-L1 can be induced by multiple nonexclusive mechanisms, including by cytokines such as type I and II IFNs, TNFα, and IL10, and specific oncogenic events, including chromosomal amplification and upregulation by oncogenic signaling. d) Decreased immunogenicity may result from defects in antigen presentation and/or defective response to IFNγ, which can occur due to genomic inactivation or downregulation of class I MHC and MHC-related molecules (e.g., B2M) or of genes related to the IFNγ pathway. e) Tumor cells also exert strong metabolic stress on the immune infiltrate by competing for nutrients and secreting byproducts that negatively affect immune effector function [reviewed on (1, 4, 6)].

Figure 1.

Generation of an immune suppressive TME. (1) Regulatory T cells (TRegs) suppress immune response via direct cell contact and humoral mechanisms. TRegs constitutively express CTLA-4, which binds to CD80 and CD86 on antigen-presenting cells, such as DCs, leading to impaired DC maturation and blocking binding of CD80/CD86 to CD28 on conventional T cells, thereby preventing costimulation and T-cell activation. Moreover, TRegs can directly target effector T cells (TEff) and NK cells for destruction by secreting cytotoxic granzymes and perforin. Secretion of inhibitory cytokines such as TGFβ, IL10, and IL35 further inhibit anti-tumor immune response. (2) TAMs are a major component of the immune infiltrate in solid tumors. Chronic inflammation within the TME and production of IL4 and IL13 by TH2 cells and IL10 by TRegs induce protumorigenic macrophage polarization. In turn, TAMs exacerbate immune suppression by releasing cytokines such as IL10 and TGFβ that suppress TEff and NK cells but stimulate TRegs. Protumorigenic TAMs also upregulate metabolic enzymes such as IDO-1 and Arg-1, which can severely affect the composition of the immune infiltrate by competing for catabolism of nutrients. In addition, TAMs can directly inhibit T cells by expressing immune checkpoint ligands PD-L1 and PD-L2. (3) MDSCs are a heterogeneous population of immature myeloid cells that accumulate in response to chronic inflammation and fail to differentiate into mature cells. MDSCs secrete significant levels of IL10 and TGFβ, thereby inducing TReg accumulation and pro-tumorigenic macrophage polarization, while simultaneously inhibiting TEff and NK cells function and activation. Furthermore, MDSCs promote metabolic stress by dramatically depleting nutrients needed for T-cell function. (4) Oncogenic events can directly and indirectly inhibit immune response by multiple mechanisms: a) Numerous cytokines secreted by tumor cells, including TGFβ, IL10 and the proangiogenic molecule VEGF, promote recruitment of immune suppressive cells. b) Downregulation of proinflammatory chemokines, including CCL3, CCL4 and CCL5, and CXCR3 ligands such as CXCL9 and CXCL10 result in decreased DC and T-cell recruitment and impaired T-cell priming/activation. c) Expression of PD-L1 and direct inhibition of T-cell effector function by tumor cells has been observed in numerous cancer types. PD-L1 can be induced by multiple nonexclusive mechanisms, including by cytokines such as type I and II IFNs, TNFα, and IL10, and specific oncogenic events, including chromosomal amplification and upregulation by oncogenic signaling. d) Decreased immunogenicity may result from defects in antigen presentation and/or defective response to IFNγ, which can occur due to genomic inactivation or downregulation of class I MHC and MHC-related molecules (e.g., B2M) or of genes related to the IFNγ pathway. e) Tumor cells also exert strong metabolic stress on the immune infiltrate by competing for nutrients and secreting byproducts that negatively affect immune effector function [reviewed on (1, 4, 6)].

Close modal

Oncogenic signaling pathways have the potential to affect every component of tumor immunity. Careful analysis of clinical studies and the development of relevant animal models are key steps to maximize translational potential. Studies using genetically engineered mouse models (GEMM) correlated with clinical data have provided much insight into how specific oncogenic events differentially contribute to immune escape. Mechanistic studies for target prediction and biomarker discovery, as well as preclinical evaluation in mouse models thus provide important information for designing potentially successful clinical trials (Fig. 2). Importantly, mechanisms of immune evasion and de novo as well as acquired resistance to immunotherapy often overlap, thus underscoring the potential for targeted approaches that could simultaneously sensitize tumors to immunotherapy and prevent recurrence. In this section, we review some of the major molecular mechanisms described to date.

Figure 2.

Integration of clinical and animal studies in translational immuno-oncology. (1) Experimental design informed by clinical observations to maximize translational potential. (2) Development of animal models that recapitulate genetic abnormalities found in the clinic. In this regard, immunocompetent, syngeneic mouse models provide the current gold standard. Emerging technologies, such as mouse models engrafted with humanized immune systems can improve the clinical relevance of preclinical studies and maximize translational feasibility. (3) Mechanistic studies are a crucial component of modern tumor immunology research. Complementing classical gain-of-function and loss-of-function experiments, powerful technologies such as single-cell RNA sequencing (scRNA-Seq), cytometry by time-of-flight (CyTOF), and highly multiplex tissue cyclic immunofluorescence (t-CyCIF) have greatly enhanced our ability to interrogate the nature and degree of interplay between tumor and immune cells. Future work will undoubtedly entail more robust integration of single-cell expression analyses with single-cell spatial relationships within tissues. (4–6) Iterative rounds of target prediction (4), preclinical evaluation (5), and refining hypothesis (6) are needed to identify promising targets of clinical relevance. (7) Results from preclinical studies are used to inform and support the design of clinical trials for promising combinations. (8) In addition to safety and efficacy, results from clinical studies provide important information to optimize further rounds of basic and translational research.

Figure 2.

Integration of clinical and animal studies in translational immuno-oncology. (1) Experimental design informed by clinical observations to maximize translational potential. (2) Development of animal models that recapitulate genetic abnormalities found in the clinic. In this regard, immunocompetent, syngeneic mouse models provide the current gold standard. Emerging technologies, such as mouse models engrafted with humanized immune systems can improve the clinical relevance of preclinical studies and maximize translational feasibility. (3) Mechanistic studies are a crucial component of modern tumor immunology research. Complementing classical gain-of-function and loss-of-function experiments, powerful technologies such as single-cell RNA sequencing (scRNA-Seq), cytometry by time-of-flight (CyTOF), and highly multiplex tissue cyclic immunofluorescence (t-CyCIF) have greatly enhanced our ability to interrogate the nature and degree of interplay between tumor and immune cells. Future work will undoubtedly entail more robust integration of single-cell expression analyses with single-cell spatial relationships within tissues. (4–6) Iterative rounds of target prediction (4), preclinical evaluation (5), and refining hypothesis (6) are needed to identify promising targets of clinical relevance. (7) Results from preclinical studies are used to inform and support the design of clinical trials for promising combinations. (8) In addition to safety and efficacy, results from clinical studies provide important information to optimize further rounds of basic and translational research.

Close modal

MYC

The MYC oncogene was shown to directly upregulate expression of the innate immune inhibitor receptor CD47, a so-called “don't eat me” signal, and of the adaptive immune checkpoint ligand PD-L1 in lymphoma/leukemia models of conditional MYC overexpression (Fig. 3A; ref. 7). These results were subsequently corroborated by multiple groups in different cancer models (8). Furthermore, conditional MYC activation in a KRASG12D-driven model of lung cancer showed that MYC drives tumor progression and recruitment of an immunosuppressive TME characterized by a marked influx of macrophages and depletion of T cells, B cells, and natural killer (NK) cells (9). These effects were mediated by tumor-secreted CCL9 and IL23, which enhanced recruitment of PD-L1+ macrophages and promoted lymphocyte exclusion, respectively (Fig. 3A; ref. 9). In turn, MYC deactivation reversed these changes and led to tumor regression, which was dependent on NK cells but not on T cells (9). Notably, CCL9/IL23 co-blockade inhibited tumor progression, while PD-L1 blockade restored T-cell infiltration but did not measurably affect tumor growth (9). More recently, newly developed small-molecule MYC inhibitors that disrupt MYC/MAX dimerization were shown to promote antitumor immune response, and to synergistically inhibit tumor growth of MyC-Cap mouse prostate cancer allografts when combined with PD-1 blockade (10).

Figure 3.

Tumor-intrinsic molecular mechanisms of immune suppression driven by specific oncogenic events. Selected examples are depicted on the basis of mechanistic studies on animal models. Of note, cooccurring oncogenic events affect immune suppressive mechanisms, thus increasing immune heterogeneity between cancer cases. Additional mechanisms linked to each example have also been described but could not be included in this diagram due to space constraints.A, MYC has been shown to promote T-cell and NK-cell exclusion, and infiltration of TAMs, while also directly inhibiting T cells and phagocytic macrophages via upregulation of PD-L1 and CD47. B, Mutant KRAS has been shown to promote recruitment of MDSCs to the TME through upregulation of CXCL3. C, Mutant EGFR has been shown to upregulate PD-L1 in tumor cells and to induce recruitment of TAMs and MDSCs. D, Loss of PTEN is associated with increased production of immune suppressive cytokines, which promote the establishment of an immune suppressive TME and inhibit T-cell infiltration. E, β-Catenin has been shown to inhibit secretion of CCL4 by tumor cells, hence preventing activation of CD103+ DCs and subsequent CTL activation. F, Loss of LKB1 downregulates the STING pathway in tumor cells, thereby preventing release of type I IFNs in response to cytoplasmic dsDNA, which would otherwise stimulate immune response. G, STAT3 signaling in tumor cells induces upregulation of multiple cytokines that contribute to the establishment of an immune suppressive TME by stimulating suppressive immune cells and inhibiting effector cells. H, Dysregulated NOTCH promotes an immune suppressive TME via multiple antiinflammatory cytokines. I, FAK has been shown to stimulate regulatory T cells (TRegs) by upregulating numerous cytokines.

Figure 3.

Tumor-intrinsic molecular mechanisms of immune suppression driven by specific oncogenic events. Selected examples are depicted on the basis of mechanistic studies on animal models. Of note, cooccurring oncogenic events affect immune suppressive mechanisms, thus increasing immune heterogeneity between cancer cases. Additional mechanisms linked to each example have also been described but could not be included in this diagram due to space constraints.A, MYC has been shown to promote T-cell and NK-cell exclusion, and infiltration of TAMs, while also directly inhibiting T cells and phagocytic macrophages via upregulation of PD-L1 and CD47. B, Mutant KRAS has been shown to promote recruitment of MDSCs to the TME through upregulation of CXCL3. C, Mutant EGFR has been shown to upregulate PD-L1 in tumor cells and to induce recruitment of TAMs and MDSCs. D, Loss of PTEN is associated with increased production of immune suppressive cytokines, which promote the establishment of an immune suppressive TME and inhibit T-cell infiltration. E, β-Catenin has been shown to inhibit secretion of CCL4 by tumor cells, hence preventing activation of CD103+ DCs and subsequent CTL activation. F, Loss of LKB1 downregulates the STING pathway in tumor cells, thereby preventing release of type I IFNs in response to cytoplasmic dsDNA, which would otherwise stimulate immune response. G, STAT3 signaling in tumor cells induces upregulation of multiple cytokines that contribute to the establishment of an immune suppressive TME by stimulating suppressive immune cells and inhibiting effector cells. H, Dysregulated NOTCH promotes an immune suppressive TME via multiple antiinflammatory cytokines. I, FAK has been shown to stimulate regulatory T cells (TRegs) by upregulating numerous cytokines.

Close modal

KRAS

KRASG12D was shown to mediate immune suppression in a GEMM of colorectal carcinoma with inducible KRASG12D and additional APC and p53 double deletion (11). In this case, KRASG12D repressed expression of IRF2, thus alleviating repression of CXCL3 expression by colorectal carcinoma tumor cells and promoting recruitment of CXCR2+ MDSCs to the TME (Fig. 3B; ref. 11). While single agents against PD-1 or CXCR2 did not affect tumor growth or survival, combined treatment significantly increased survival and inhibited tumor growth (11). Furthermore, a novel KRASG12C-specific inhibitor, AMG510, strongly promoted a proinflammatory TME and synergized with anti-PD-1 to inhibit mouse syngeneic CT-26 colorectal carcinoma tumors with enforced KRASG12C expression, which led to complete regression in 90% of cases (9/10) and immunologic memory, as shown by the ability to reject a second challenge of CT-26 tumor cells (12).

EGFR and HER2

Mutant EGFR in lung cancer mouse models has been shown to promote the establishment of an immunosuppressive TME characterized by low levels of cytotoxic T lymphocytes (CTL) and increased markers of T-cell exhaustion (Fig. 3C; ref. 13). Ectopic mutant EGFR expression in bronchial epithelial BEAS2B cells upregulates PD-L1 expression, while small-molecule EGFR inhibition in NSCLC cell lines downregulates PD-L1 (13). Consistently, mouse lung adenocarcinoma tumors driven by EgfrL858R display high myeloid cells infiltration, reduced CD4+ T-helper response, and blunted CD8+ T-cell expansion, compared with tumors driven by KrasG12D or concomitant KrasG12D and p53 deletion (14). In the case of HER2, HER2-positive breast cancers predominantly exhibit immune subtypes consistent with ongoing immune activity, including IFNγ-dominant phenotype (∼50% of cases; characterized by strong CD8+ and antitumorigenic macrophage signals) and wound-healing phenotype (∼44% of cases; characterized by high expression of angiogenic genes, high proliferation, and TH2-type responses; refs. 15, 16). In addition to inhibiting oncogenic HER2 signaling in tumor cells, anti-HER2–targeted mAbs stimulate innate and adaptive immune responses critical for clinical efficacy (17). These effects are mediated primarily via antibody-dependent cell-mediated cytotoxicity, antibody-dependent cellular phagocytosis, and by inducing antigen cross-presentation and T-cell priming (17). Considering the aggressive nature of HER2+ breast cancers and the outstanding therapeutic effect of anti-HER2 mAbs, these observations underscore the power of the immune system to subdue highly malignant tumor cells.

PTEN

Genetic loss of PTEN is associated with reduced antitumor immunity in multiple cancers (18–20). In melanoma, PTEN deficiency correlated with decreased response to ICB in a cohort of patients (n = 39), and with decreased immune activation scores in melanoma samples from The Cancer Genome Atlas (TCGA; ref. 20). Interestingly, PTEN deficiency and WNT/β-catenin pathway activation were largely nonoverlapping (20). Using a BRAF-mutant melanoma xenograft model with ectopic expression of melanoma antigen gp100 and MHC class I H2-Db, which is specifically recognized by CD8+ T cells from transgenic PMEL-1 mice, it was shown that PTEN silencing in tumor cells reduced T-cell infiltration and cytotoxic response (Fig. 3D; ref. 20). Moreover, because PTEN-deficient tumors preferentially signal through PI3Kβ (21), treatment with the PI3Kβ isoform-specific inhibitor GSK2636771 improved response to PD-1 blockade in a GEMM of BRAFV600E/PTEN-null melanoma (20). Similarly, a novel chimeric GEMM of metastatic castration-resistant prostate cancer (mCRPC) with triple deletion of PTEN, p53, and Smad4 showed markedly enhanced response to combined PD-1/CTLA-4 blockade when combined with GSK2636771 (22). These mCRPC tumors were highly infiltrated by Gr-MDSCs, which contributed to primary resistance to immunotherapy, and showed synergistic response to ICB in combination with targeted agents that preferentially affect Gr-MDSCs, such as the tyrosine kinase inhibitor cabozantinib, the PI3K/mTOR dual inhibitor BEZ235 and the CXCR1/2 inhibitor SX-682 (22). Of note, the same group had previously reported that additional loss of Smad4 in a PTEN-null prostate cancer GEMM dramatically enhances tumor progression, metastatic spread, and lethality (23), and upregulates CXCL5 expression in tumor cells via HIPPO-YAP1 signaling, which enhances recruitment of immune suppressive CXCR2+ MDSCs (22).

WNT/β-catenin

Analysis of human melanoma samples revealed a correlation between T-cell exclusion and WNT/β-catenin signaling, including gain-of-function mutations on the β-catenin gene (CTNNB1) and upregulated expression of β-catenin target genes (24). To further investigate these findings, the authors compared a GEMM of metastatic melanoma driven by BRAFV600E and PTEN loss with a syngeneic model harboring additional constitutively active β-catenin, thus showing that β-catenin inhibits production of CCL4 by tumors cells, which leads to impaired recruitment of CD103+ DCs and consequently to impaired T-cell activation (Fig. 3E; ref. 24). Of note, while BRAFV600E/PTEN-null tumors responded to combined PD-L1/CTLA-4 blockade and exhibited significant growth inhibition, tumors with additional β-catenin activation failed to respond to this immunotherapy (24). Consistently, WNT/β-catenin signaling was found to inversely correlate with T-cell infiltration in colorectal cancer (25), and across multiple cancer types compiled from TCGA (26).

LKB1

Loss of LKB1 in a mouse model of NSCLC driven by mutant KRAS results in neutrophil accumulation and increased T-cell exhaustion (27). Interestingly, LKB1 loss is associated with decreased PD-L1 expression and resistance to PD-1 blockade in mouse models and patient tumors (27). Indeed, retrospective analyses of clinical response in patients with KRAS-mutant lung adenocarcinoma identified genomic mutations on LKB1 as a significant biomarker for primary resistance to anti-PD-1/PD-L1 immunotherapy, as well as in another cohort of NSCLC irrespective of KRAS status (28). Further work demonstrated that LKB1 deficiency in KRAS-mutant lung cancer results in downregulation of STING and, consequently, an inability to respond to cytoplasmic double-stranded DNA (dsDNA; ref. 29). STING downregulation facilitates immune escape by preventing STING-mediated expression of type I IFNs and proinflammatory cytokines, which are necessary for proper engagement and activation of antitumor immune response (Fig. 3F; ref. 30).

STAT3 and NFκB

Signaling pathways that regulate expression of inflammatory cytokines, such as STAT3 and NFκB, have the potential to dramatically affect immune response. STAT3 can promote immune escape by upregulating immune suppressive genes, including IL6, IL10, TGFβ, and VEGF, while simultaneously downregulating immune effector genes such as type I and II IFNs, IL12, CD80, CD86, MHC class II molecules, CCL5, and CXCL10 (31). Tumor cell–intrinsic STAT3 promotes paracrine activation of STAT3 in various populations of immune cells, thereby reducing NK and T-cell cytotoxicity, inhibiting DC maturation and TH1-type response, and stimulating immunosuppressive cells such as MDSCs, TRegs, and TAMs (Fig. 3G; refs. 32, 33). In a breast cancer GEMM driven by the polyoma virus middle T antigen (PyMT), which is characterized by aggressive and metastatic tumors with latencies around 3 to 4 weeks and 80% penetrance, genetic ablation of Stat3 resulted in early hyperplastic lesions that were readily cleared by the immune system, although after a latency averaging 40 weeks, 30% of these mice developed nonmetastatic tumors that escaped immune surveillance and markedly lacked immune infiltration (34). In addition, STAT3 inhibits expression of numerous immunostimulatory genes downstream of NFκB (31). The NFκB pathway plays an important role in activating programs of immune response; however, aberrant NFκB signaling has been shown to exert strong oncogenic effects by upregulating genes that promote cell proliferation and survival (35). STAT3 binding to NFκB promotes transactivation of oncogenic genes and prevents binding to genes involved in immune response (31, 36). Furthermore, multiple upstream events, including growth factor and cytokine receptors, nonreceptor tyrosine kinases like Src and Abl, and Toll-like receptors induce STAT3 and NFκB activation either directly or indirectly via autocrine and paracrine signaling (31).

NOTCH

Dysregulated NOTCH signaling in tumor cells can upregulate expression of antiinflammatory cytokines, including TGFβ, IL4, IL6, and IL10, thereby promoting an immunosuppressive TME (Fig. 3H; ref. 37).

FAK

Focal adhesion kinase (FAK) was shown to induce CD8+ T-cell exhaustion and promote TReg recruitment via regulation of multiple cytokines, including CCL1/5/7, CXCL10, and TGFβ2, in a mouse model of squamous cell carcinoma (Fig. 3I), and these effects could be reversed by pharmacologic targeting of FAK by VS-4718 (38). Similar findings were described in pancreatic ductal adenocarcinoma (PDAC), where FAK inhibition with VS-4718 renders KrasG12D; Trp53L/+ PDAC tumors sensitive to adoptive cell transfer (ACT) or PD-1 blockade immunotherapy (39).

Distinct small-molecule targeted therapies have been shown to exert specific effects on antitumor immune response in mouse models and in the clinic (Fig. 4A). Inhibitors of BRAF, cyclin-dependent kinase 4 and 6 (CDK4/6) and PARP 1/2 are currently being tested in combination with ICB in clinical trials and have thus far shown promising potential. In this section, we discuss these three kinds of inhibitors as examples of targeted agents with immune modulatory properties.

Figure 4.

Immune modulation by small-molecule targeted therapies. A, Targeted therapies have been shown to affect multiple aspects of cancer immunity, including inhibition of antiinflammatory mechanisms and promotion of proinflammatory mechanisms, upregulation of antigen presentation, and direct modulatory effects on immune cells. Some targeted agents have been designed to specifically target immune subpopulations. For example, PI3Kγ and CSF1R inhibitors are used to deplete TAMs, and CXCR1/2 inhibitors are used to inhibit MDSCs. Other drugs, such as BRAF, PI3K, FAK, and KRASG12C inhibitors, were found to affect immune-related mechanisms in addition to their intended cytotoxic effect on tumor cells largely because oncogenic signaling from tumor cells modulates immune response. In the case of PARPi, enhanced immunogenicity seems to be a corollary of its primary effect on inducing irreparable DNA damage; however, engagement of a robust immune response is required for effective response. And in the case of CDK4/6 inhibitors, unexpected effects in tumor antigenicity as well as direct effects on immune suppressive and immune effector cells have been reported by independent research groups. B–D, Summary of immune modulatory effect of selected examples of targeted therapies currently under clinical investigation in combination with ICB immunotherapy.

Figure 4.

Immune modulation by small-molecule targeted therapies. A, Targeted therapies have been shown to affect multiple aspects of cancer immunity, including inhibition of antiinflammatory mechanisms and promotion of proinflammatory mechanisms, upregulation of antigen presentation, and direct modulatory effects on immune cells. Some targeted agents have been designed to specifically target immune subpopulations. For example, PI3Kγ and CSF1R inhibitors are used to deplete TAMs, and CXCR1/2 inhibitors are used to inhibit MDSCs. Other drugs, such as BRAF, PI3K, FAK, and KRASG12C inhibitors, were found to affect immune-related mechanisms in addition to their intended cytotoxic effect on tumor cells largely because oncogenic signaling from tumor cells modulates immune response. In the case of PARPi, enhanced immunogenicity seems to be a corollary of its primary effect on inducing irreparable DNA damage; however, engagement of a robust immune response is required for effective response. And in the case of CDK4/6 inhibitors, unexpected effects in tumor antigenicity as well as direct effects on immune suppressive and immune effector cells have been reported by independent research groups. B–D, Summary of immune modulatory effect of selected examples of targeted therapies currently under clinical investigation in combination with ICB immunotherapy.

Close modal

BRAF inhibitors

Treatment with BRAF inhibitors has been shown to increase melanoma differentiation antigen (MDA) expression and presentation by tumor cells, increase NK-cell infiltration, and reduce TReg and MDSC levels in cell and mouse models of BRAF-mutant melanoma (Fig. 4B; refs. 40–42). Using the SM1 model of BRAFV600E mouse melanoma and SM1 cells stably expressing the chicken ovalbumin (OVA) antigen (SM1-OVA), treatment with the BRAF inhibitor vemurafenib improved ACT immunotherapy with T cells specific against OVA as well as with PMLE-1 T cells recognizing endogenous gp100 in SM1 cells (43). Furthermore, BRAF inhibition with dabrafenib in combination with the MEK inhibitor trametinib enhanced PMLE-1 ACT, leading to increased CD8+ T-cell infiltration and cytotoxicity, and complete tumor regressions (44). Combined dabrafenib and trametinib also improved response to PD-1 blockade in this model (44). Analysis of biopsy samples from patients with metastatic melanoma also revealed an association between treatment with combined BRAF and MEK inhibition, and increased MDA expression and CD8+ T-cell infiltration (45). More recently, results from a randomized phase II clinical trial of combined dabrafenib, trametinib, and PD-1 blockade by pembrolizumab compared with dabrafenib, trametinib, and placebo showed encouraging results, including improved progression-free survival and enhanced response, although the triple combination also resulted in increased adverse effects (46, 47).

CDK4/6 inhibitors

CDK4/6 inhibitors exert direct immune-stimulatory effects on both tumor and immune cells (Fig. 4C). In tumor cells, the CDK4/6 inhibitors palbociclib and abemaciclib were shown to downregulate expression of the DNA methyltransferase DNMT1, leading to decreased methylation and subsequently increased expression of endogenous retrovirus elements, thus stimulating production of type III IFNs, and a consequent increase in antigen presentation and enhanced CD8+ T-cell effector function (48). Moreover, CDK4/6 inhibition specifically inhibited ex vivo proliferation of CD4+ CD25+ TRegs, but did not affect proliferation of CD4+, CD25, and CD8+ T cells (48). Splenic CD4+ FOXP3+ TReg levels were also decreased upon treatment in vivo independently of the presence of a tumor (48). PD-L1 inhibition significantly improved response to abemaciclib in an inducible GEMM of HER2+ breast cancer, and resulted in complete tumor regression of CT-26 CRC tumors in all cases, as well as the ability to reject a second challenge with CT-26 tumor cells (48). In addition, an in vitro small-molecule screen identified CDK4/6 inhibitors as capable of directly enhancing T-cell activation via upregulation of NFAT signaling, a family of transcription factors that are required for proper activation and function of T cells (49). Consistently, CDK4/6 inhibition by palbociclib or trilaciclib potentiated PD-1 blockade to stimulate antitumor T-cell function and inhibit tumor growth in the MC38 and CT-26 CRC models (49). Interestingly, cyclin D-CDK4 was shown to promote PD-L1 proteasomal degradation (50). In vivo treatment with CDK4/6 inhibitors increased tumor PD-L1 levels and sensitized CT-26 tumors to ICB, resulting in complete tumor regression in 67% (8/12) of mice receiving combined palbociclib and anti-PD-1 (50). A study of 348 ER+/HER2 tumor samples collected from patients prior to start of CDK4/6 inhibitor treatment with palbociclib, ribociclib or abemaciclib revealed FAT1 deletion as a mechanism of therapeutic resistance (51). Mechanistically, FAT1 loss resulted in engagement of the Hippo pathway, leading to YAP/TAZ translocation to the nucleus and upregulation of CDK6 expression (51). In the clinic, preliminary results from a phase Ib clinical trial of combined abemaciclib and pembrolizumab in ER+/HER2 metastatic breast cancer have shown safety profiles similar to single agents and an initial objective response rate (ORR) of 14.3% (52).

PARP inhibitors

Recent studies have demonstrated that, in addition to direct cytotoxicity, the therapeutic efficacy of PARP inhibitors (PARPi) requires coordinated activation of robust local and systemic antitumor immune response, such as increased infiltration of effector CD4+ and CD8+ T cells into the TME, increased intratumoral DCs with potent antigen-presentation capacity, and systemic reduction of MDSCs in tumor, spleen, and blood (53, 54). Mechanistically, dsDNA derived from homologous recombination (HR)-deficient tumor cells upon PARP inhibition activates cGAS/STING in tumor cells and/or DCs to drive a cGAS/STING-dependent type I IFN signal that mediates antitumor immunity (Fig. 4D; ref. 53). This mechanism of PARPi-triggered STING-dependent antitumor immunity has been demonstrated in several cancer types, including ovarian cancer, triple-negative breast cancer, and lung cancer (53–57). Interestingly, PARPis have also been shown to induce expression of PD-L1 in tumor cells via multiple mechanisms, including as a response to IFN expression, inactivation of GSK3β, reduced poly(ADP-ribosyl)ation with concomitantly increased phosphorylation of STAT3, and STING activation (56, 58–62). While PARPi-mediated PD-L1 upregulation can promote adaptative immune suppression, it can be overcome by ICB. Indeed, preclinical studies have shown that PD-1/PD-L1 blockade further augments PARPi-triggered immune response, leading to more durable suppression of tumor growth and prolonged survival (53–56). Combined PARP inhibition and ICB is being evaluated by numerous clinical trials in first-line, maintenance, and recurrent settings of both HR-deficient and HR-proficient solid tumors (63–68). In general, these trials have found combination therapies are well-tolerated, with safety concerns consistent with individual agent profiles, and have produced encouraging initial results. While PARP inhibition and PD-1/PD-L1 monotherapy exhibit low efficacy for patients with platinum-resistant ovarian cancer who lack a BRCA mutation, with ORRs approximately 5% and 4%–10%, respectively (69–74), in the ongoing phase I/II TOPACIO/KEYNOTE-162 trial, combined niraparib plus pembrolizumab demonstrated improved efficacy (ORR, 19%) in BRCA wild type patients with recurrent platinum-resistant ovarian cancer (75).

It is clear that tumor cell–intrinsic signaling mechanisms strongly affect immune composition and function. A deeper understanding of these molecular and cellular mechanisms will not only help in the design of potentially promising clinical trials of combination therapies targeted to specific groups of patients, but will also help discover new therapeutic targets with previously unknown functions in tumor immunity. Nevertheless, clinical development may still be limited by lack of significant benefit and compounding adverse effects. Careful preclinical and clinical studies are needed to improve the efficacy and tolerability of targeted therapy and immunotherapy combinations. Some areas of focus should include the need to: (i) better understand tissue-specific oncogene-related immune effects; (ii) identify and validate biomarkers to predict response and resistance to oncogene targeting; (iii) develop high fidelity animal models incorporating patient-derived tumors and humanized immune systems to better identify effective combinations without causing increased toxicity to patients; and (iv) use multiplexed assays to integrate immune and tumor intrinsic molecular changes in response to combination therapy. Still, current evidence from preclinical and clinical trials is in aggregate promising and encouraging. The notion that specific targeted agents can sensitize tumor cells to immunotherapy, thereby leading to durable and effective responses in patients that would otherwise not respond is worth pursuing. Continued basic and preclinical research integrated with careful clinical trial planning of combination therapies will likely continue to yield meaningful treatment options for patients afflicted by cancer.

J.S. Bergholz reports grants from Susan G. Komen Foundation and from Friends of Dana-Farber Cancer Institute, and other from Dale Family Foundation (charitable contributions) during the conduct of the study; as well as personal fees from Geode Therapeutics (scientific consulting) outside the submitted work and a patent issued for DFCI 2180.001 (DFS-166.25). Q. Wang reports grants from Cancer Research Institute (CRI Irvington Postdoctoral Fellowship) during the conduct of the study as well as other from Crimson Biopharm (consultant) outside the submitted work and a patent issued for DFCI 2409.001 (DFS-203.60). J.J. Zhao reports grants from NIH, DoD, and Breast Cancer Research Foundation during the conduct of the study, as well as a patent pending for DFCI 2409.001 (DFS-203.60) and is a founder and director of Crimson Biopharm and Geode Therapeutics. None of the aforementioned patents are licensed to any companies. No potential conflicts of interest were disclosed by the other author.

We thank Drs. Harvey Cantor and Hye-Jung Kim for scientific discussions. We thank Elizabeth Cahn and the Breast Cancer Advocacy Group at Dana-Farber/Harvard Cancer Center for discussions on patient issues and needs. We thank the Dale Family Foundation for their charitable contributions. This work was supported in part by grants from The Susan G. Komen Foundation PDF16376814 (to J.S. Bergholz), Friends of Dana-Farber Cancer Institute (to J.S. Bergholz), Cancer Research Institute (to Q. Wang), Terri Brodeur Breast Cancer Foundation (to S. Kabraji), Breast Cancer Research Foundation (to J.J. Zhao), DoD CDMRP BC171657 (to J.J. Zhao), and NIH P50 CA168504 (to J.J. Zhao), P50 CA165962 (to J.J. Zhao), and R35 CA210057 (to J.J. Zhao).

1.
O'Donnell
JS
,
Teng
MWL
,
Smyth
MJ
. 
Cancer immunoediting and resistance to T cell-based immunotherapy
.
Nat Rev Clin Oncol
2019
;
16
:
151
67
.
2.
Larkin
J
,
Chiarion-Sileni
V
,
Gonzalez
R
,
Grob
J-J
,
Rutkowski
P
,
Lao
CD
, et al
Five-year survival with combined nivolumab and ipilimumab in advanced melanoma
.
N Engl J Med
2019
;
381
:
1535
46
.
3.
Gotwals
P
,
Cameron
S
,
Cipolletta
D
,
Cremasco
V
,
Crystal
A
,
Hewes
B
, et al
Prospects for combining targeted and conventional cancer therapy with immunotherapy
.
Nat Rev Cancer
2017
;
17
:
286
301
.
4.
Wellenstein
MD
,
de Visser
KE
. 
Cancer-cell-intrinsic mechanisms shaping the tumor immune landscape
.
Immunity
2018
;
48
:
399
416
.
5.
Emens
LA
,
Middleton
G
. 
The interplay of immunotherapy and chemotherapy: harnessing potential synergies
.
Cancer Immunol Res
2015
;
3
:
436
43
.
6.
Sharma
P
,
Hu-Lieskovan
S
,
Wargo
JA
,
Ribas
A
. 
Primary, adaptive, and acquired resistance to cancer immunotherapy
.
Cell
2017
;
168
:
707
23
.
7.
Casey
SC
,
Tong
L
,
Li
Y
,
Do
R
,
Walz
S
,
Fitzgerald
KN
, et al
MYC regulates the antitumor immune response through CD47 and PD-L1
.
Science
2016
;
352
:
227
31
.
8.
Casey
SC
,
Baylot
V
,
Felsher
DW
. 
The MYC oncogene is a global regulator of the immune response
.
Blood
2018
;
131
:
2007
15
.
9.
Kortlever
RM
,
Sodir
NM
,
Wilson
CH
,
Burkhart
DL
,
Pellegrinet
L
,
Brown Swigart
L
, et al
Myc Cooperates with Ras by Programming Inflammation and Immune Suppression
.
Cell
2017
;
171
:
1301
15
.
10.
Han
H
,
Jain
AD
,
Truica
MI
,
Izquierdo-Ferrer
J
,
Anker
JF
,
Lysy
B
, et al
Small-molecule MYC inhibitors suppress tumor growth and enhance immunotherapy
.
Cancer Cell
2019
;
36
:
483
97
.
11.
Liao
W
,
Overman
MJ
,
Boutin
AT
,
Shang
X
,
Zhao
D
,
Dey
P
, et al
KRAS-IRF2 axis drives immune suppression and immune therapy resistance in colorectal cancer
.
Cancer Cell
2019
;
35
:
559
72
.
12.
Canon
J
,
Rex
K
,
Saiki
AY
,
Mohr
C
,
Cooke
K
,
Bagal
D
, et al
The clinical KRAS(G12C) inhibitor AMG 510 drives anti-tumour immunity
.
Nature
2019
;
575
:
217
23
.
13.
Akbay
EA
,
Koyama
S
,
Carretero
J
,
Altabef
A
,
Tchaicha
JH
,
Christensen
CL
, et al
Activation of the PD-1 pathway contributes to immune escape in EGFR-driven lung tumors
.
Cancer Discov
2013
;
3
:
1355
63
.
14.
Busch
SE
,
Hanke
ML
,
Kargl
J
,
Metz
HE
,
MacPherson
D
,
Houghton
AM
. 
Lung cancer subtypes generate unique immune responses
.
J Immunol
2016
;
197
:
4493
503
.
15.
Gatti-Mays
ME
,
Balko
JM
,
Gameiro
SR
,
Bear
HD
,
Prabhakaran
S
,
Fukui
J
, et al
If we build it they will come: targeting the immune response to breast cancer
.
NPJ Breast Cancer
2019
;
5
:
37
.
16.
Thorsson
V
,
Gibbs
DL
,
Brown
SD
,
Wolf
D
,
Bortone
DS
,
Ou Yang
T-H
, et al
The immune landscape of cancer
.
Immunity
2018
;
48
:
812
30.e14
.
17.
Bianchini
G
,
Gianni
L
. 
The immune system and response to HER2-targeted treatment in breast cancer
.
Lancet Oncol
2014
;
15
:
e58
68
.
18.
George
S
,
Miao
D
,
Demetri
GD
,
Adeegbe
D
,
Rodig
SJ
,
Shukla
S
, et al
Loss of PTEN is associated with resistance to Anti-PD-1 checkpoint blockade therapy in metastatic uterine leiomyosarcoma
.
Immunity
2017
;
46
:
197
204
.
19.
Parsa
AT
,
Waldron
JS
,
Panner
A
,
Crane
CA
,
Parney
IF
,
Barry
JJ
, et al
Loss of tumor suppressor PTEN function increases B7-H1 expression and immunoresistance in glioma
.
Nat Med
2007
;
13
:
84
8
.
20.
Peng
W
,
Chen
JQ
,
Liu
C
,
Malu
S
,
Creasy
C
,
Tetzlaff
MT
, et al
Loss of PTEN promotes resistance to t cell-mediated immunotherapy
.
Cancer Discov
2016
;
6
:
202
16
.
21.
Thorpe
LM
,
Yuzugullu
H
,
Zhao
JJ
. 
PI3K in cancer: divergent roles of isoforms, modes of activation and therapeutic targeting
.
Nat Rev Cancer
2015
;
15
:
7
24
.
22.
Lu
X
,
Horner
JW
,
Paul
E
,
Shang
X
,
Troncoso
P
,
Deng
P
, et al
Effective combinatorial immunotherapy for castration-resistant prostate cancer
.
Nature
2017
;
543
:
728
32
.
23.
Ding
Z
,
Wu
C-J
,
Chu
GC
,
Xiao
Y
,
Ho
D
,
Zhang
J
, et al
SMAD4-dependent barrier constrains prostate cancer growth and metastatic progression
.
Nature
2011
;
470
:
269
73
.
24.
Spranger
S
,
Bao
R
,
Gajewski
TF
. 
Melanoma-intrinsic β-catenin signalling prevents anti-tumour immunity
.
Nature
2015
;
523
:
231
5
.
25.
Grasso
CS
,
Giannakis
M
,
Wells
DK
,
Hamada
T
,
Mu
XJ
,
Quist
M
, et al
Genetic mechanisms of immune evasion in colorectal cancer
.
Cancer Discov
2018
;
8
:
730
49
.
26.
Luke
JJ
,
Bao
R
,
Sweis
RF
,
Spranger
S
,
Gajewski
TF
. 
WNT/β-catenin pathway activation correlates with immune exclusion across human cancers
.
Clin Cancer Res
2019
;
25
:
3074
83
.
27.
Koyama
S
,
Akbay
EA
,
Li
YY
,
Aref
AR
,
Skoulidis
F
,
Herter-Sprie
GS
, et al
STK11/LKB1 deficiency promotes neutrophil recruitment and proinflammatory cytokine production to suppress T-cell Activity in the lung tumor microenvironment
.
Cancer Res
2016
;
76
:
999
1008
.
28.
Skoulidis
F
,
Goldberg
ME
,
Greenawalt
DM
,
Hellmann
MD
,
Awad
MM
,
Gainor
JF
, et al
STK11/LKB1 mutations and PD-1 inhibitor resistance in KRAS-mutant lung adenocarcinoma
.
Cancer Discov
2018
;
8
:
822
35
.
29.
Kitajima
S
,
Ivanova
E
,
Guo
S
,
Yoshida
R
,
Campisi
M
,
Sundararaman
SK
, et al
Suppression of STING associated with LKB1 loss in KRAS-driven lung cancer
.
Cancer Discov
2019
;
9
:
34
45
.
30.
Barber
GN
. 
STING: infection, inflammation and cancer
.
Nat Rev Immunol
2015
;
15
:
760
70
.
31.
Yu
H
,
Pardoll
D
,
Jove
R
. 
STATs in cancer inflammation and immunity: a leading role for STAT3
.
Nat Rev Cancer
2009
;
9
:
798
809
.
32.
Yu
H
,
Kortylewski
M
,
Pardoll
D
. 
Crosstalk between cancer and immune cells: role of STAT3 in the tumour microenvironment
.
Nat Rev Immunol
2007
;
7
:
41
51
.
33.
Wang
T
,
Niu
G
,
Kortylewski
M
,
Burdelya
L
,
Shain
K
,
Zhang
S
, et al
Regulation of the innate and adaptive immune responses by Stat-3 signaling in tumor cells
.
Nat Med
2004
;
10
:
48
54
.
34.
Jones
LM
,
Broz
ML
,
Ranger
JJ
,
Ozcelik
J
,
Ahn
R
,
Zuo
D
, et al
STAT3 establishes an immunosuppressive microenvironment during the early stages of breast carcinogenesis to promote tumor growth and metastasis
.
Cancer Res
2016
;
76
:
1416
28
.
35.
Xia
Y
,
Shen
S
,
Verma
IM
. 
NF-κB, an active player in human cancers
.
Cancer Immunol Res
2014
;
2
:
823
30
.
36.
Lee
H
,
Deng
J
,
Xin
H
,
Liu
Y
,
Pardoll
D
,
Yu
H
. 
A requirement of STAT3 DNA binding precludes Th-1 immunostimulatory gene expression by NF-κB in tumors
.
Cancer Res
2011
;
71
:
3772
80
.
37.
Colombo
M
,
Mirandola
L
,
Chiriva-Internati
M
,
Basile
A
,
Locati
M
,
Lesma
E
, et al
Cancer cells exploit notch signaling to redefine a supportive cytokine milieu
.
Front Immunol
2018
;
9
:
1823
.
38.
Serrels
A
,
Lund
T
,
Serrels
B
,
Byron
A
,
McPherson
RC
,
von Kriegsheim
A
, et al
Nuclear FAK controls chemokine transcription, Tregs, and evasion of anti-tumor immunity
.
Cell
2015
;
163
:
160
73
.
39.
Jiang
H
,
Hegde
S
,
Knolhoff
BL
,
Zhu
Y
,
Herndon
JM
,
Meyer
MA
, et al
Targeting focal adhesion kinase renders pancreatic cancers responsive to checkpoint immunotherapy
.
Nat Med
2016
;
22
:
851
60
.
40.
Boni
A
,
Cogdill
AP
,
Dang
P
,
Udayakumar
D
,
Njauw
C-NJ
,
Sloss
CM
, et al
Selective BRAFV600E inhibition enhances T-cell recognition of melanoma without affecting lymphocyte function
.
Cancer Res
2010
;
70
:
5213
9
.
41.
Knight
DA
,
Ngiow
SF
,
Li
M
,
Parmenter
T
,
Mok
S
,
Cass
A
, et al
Host immunity contributes to the anti-melanoma activity of BRAF inhibitors
.
J Clin Invest
2013
;
123
:
1371
81
.
42.
Steinberg
SM
,
Zhang
P
,
Malik
BT
,
Boni
A
,
Shabaneh
TB
,
Byrne
KT
, et al
BRAF inhibition alleviates immune suppression in murine autochthonous melanoma
.
Cancer Immunol Res
2014
;
2
:
1044
50
.
43.
Koya
RC
,
Mok
S
,
Otte
N
,
Blacketor
KJ
,
Comin-Anduix
B
,
Tumeh
PC
, et al
BRAF inhibitor vemurafenib improves the antitumor activity of adoptive cell immunotherapy
.
Cancer Res
2012
;
72
:
3928
37
.
44.
Hu-Lieskovan
S
,
Mok
S
,
Homet Moreno
B
,
Tsoi
J
,
Robert
L
,
Goedert
L
, et al
Improved antitumor activity of immunotherapy with BRAF and MEK inhibitors in BRAF(V600E) melanoma
.
Sci Transl Med
2015
;
7
:
279ra41
.
45.
Frederick
DT
,
Piris
A
,
Cogdill
AP
,
Cooper
ZA
,
Lezcano
C
,
Ferrone
CR
, et al
BRAF inhibition is associated with enhanced melanoma antigen expression and a more favorable tumor microenvironment in patients with metastatic melanoma
.
Clin Cancer Res
2013
;
19
:
1225
31
.
46.
Ascierto
PA
,
Ferrucci
PF
,
Fisher
R
,
Del Vecchio
M
,
Atkinson
V
,
Schmidt
H
, et al
Dabrafenib, trametinib and pembrolizumab or placebo in BRAF-mutant melanoma
.
Nat Med
2019
;
25
:
941
6
.
47.
Ribas
A
,
Lawrence
D
,
Atkinson
V
,
Agarwal
S
,
Miller
WH
,
Carlino
MS
, et al
Combined BRAF and MEK inhibition with PD-1 blockade immunotherapy in BRAF-mutant melanoma
.
Nat Med
2019
;
25
:
936
40
.
48.
Goel
S
,
DeCristo
MJ
,
Watt
AC
,
BrinJones
H
,
Sceneay
J
,
Li
BB
, et al
CDK4/6 inhibition triggers anti-tumour immunity
.
Nature
2017
;
548
:
471
5
.
49.
Deng
J
,
Wang
ES
,
Jenkins
RW
,
Li
S
,
Dries
R
,
Yates
K
, et al
CDK4/6 inhibition augments anti-tumor immunity by enhancing T Cell activation
.
Cancer Discov
2018
;
8
:
216
33
.
50.
Zhang
J
,
Bu
X
,
Wang
H
,
Zhu
Y
,
Geng
Y
,
Nihira
NT
, et al
Cyclin D-CDK4 kinase destabilizes PD-L1 via Cul3SPOP to control cancer immune surveillance
.
Nature
2019
;
571
:
E10
.
51.
Li
Z
,
Razavi
P
,
Li
Q
,
Toy
W
,
Liu
B
,
Ping
C
, et al
Loss of the FAT1 tumor suppressor promotes resistance to CDK4/6 inhibitors via the Hippo pathway
.
Cancer Cell
2018
;
34
:
893
905
.
52.
Tolaney
SM
,
Kabos
P
,
Dickler
MN
,
Gianni
L
,
Jansen
V
,
Lu
Y
, et al
Updated efficacy, safety, & PD-L1 status of patients with HR+, HER2- metastatic breast cancer administered abemaciclib plus pembrolizumab
.
J Clin Oncol
36:15s, 
2018
(suppl; abstr 1059).
53.
Ding
L
,
Kim
H-J
,
Wang
Q
,
Kearns
M
,
Jiang
T
,
Ohlson
CE
, et al
PARP inhibition elicits STING-dependent antitumor immunity in brca1-deficient ovarian cancer
.
Cell Rep
2018
;
25
:
2972
80
.
54.
Shen
J
,
Zhao
W
,
Ju
Z
,
Wang
L
,
Peng
Y
,
Labrie
M
, et al
PARPi triggers the STING-dependent immune response and enhances the therapeutic efficacy of immune checkpoint blockade independent of BRCAness
.
Cancer Res
2019
;
79
:
311
9
.
55.
Chabanon
RM
,
Muirhead
G
,
Krastev
DB
,
Adam
J
,
Morel
D
,
Garrido
M
, et al
PARP inhibition enhances tumor cell-intrinsic immunity in ERCC1-deficient non-small cell lung cancer
.
J Clin Invest
2019
;
129
:
1211
28
.
56.
Sen
T
,
Rodriguez
BL
,
Chen
L
,
Corte
CMD
,
Morikawa
N
,
Fujimoto
J
, et al
Targeting DNA damage response promotes antitumor immunity through STING-mediated T-cell activation in small cell lung cancer
.
Cancer Discov
2019
;
9
:
646
61
.
57.
Pantelidou
C
,
Sonzogni
O
,
de Oliveira Taveira
M
,
Mehta
AK
,
Kothari
A
,
Wang
D
, et al
PARP inhibitor efficacy depends on CD8+ T cell recruitment via intratumoral STING pathway activation in BRCA-deficient models of triple-negative breast cancer
.
Cancer Discov
2019
;
9
:
722
37
.
58.
Ding
L
,
Chen
X
,
Xu
X
,
Qian
Y
,
Liang
G
,
Yao
F
, et al
PARP1 suppresses the transcription of PD-L1 by poly(ADP-Ribosyl)ating STAT3
.
Cancer Immunol Res
2019
;
7
:
136
49
.
59.
Higuchi
T
,
Flies
DB
,
Marjon
NA
,
Mantia-Smaldone
G
,
Ronner
L
,
Gimotty
PA
, et al
CTLA-4 blockade synergizes therapeutically with parp inhibition in BRCA1-deficient ovarian cancer
.
Cancer Immunol Res
2015
;
3
:
1257
68
.
60.
Jiao
S
,
Xia
W
,
Yamaguchi
H
,
Wei
Y
,
Chen
M-K
,
Hsu
J-M
, et al
PARP inhibitor upregulates PD-L1 expression and enhances cancer-associated immunosuppression
.
Clin Cancer Res
2017
;
23
:
3711
20
.
61.
Parkes
EE
,
Walker
SM
,
Taggart
LE
,
McCabe
N
,
Knight
LA
,
Wilkinson
R
, et al
Activation of STING-dependent innate immune signaling by S-phase-specific DNA damage in breast cancer
.
J Natl Cancer Inst
2016
;
109
:
djw199
.
62.
Wang
Z
,
Sun
K
,
Xiao
Y
,
Feng
B
,
Mikule
K
,
Ma
X
, et al
Niraparib activates interferon signaling and potentiates anti-PD-1 antibody efficacy in tumor models
.
Sci Rep
2019
;
9
:
1853
.
63.
Drew
Y
,
de Jonge
M
,
Hong
SH
,
Park
YH
,
Wolfer
A
,
Brown
J
, et al
An open-label, phase II basket study of olaparib and durvalumab (MEDIOLA): results in germline BRCA-mutated (gBRCAm) platinum-sensitive relapsed (PSR) ovarian cancer (OC)
.
Gynecol Oncol
2018
;
149
:
246
7
.
64.
Friedlander
M
,
Meniawy
T
,
Markman
B
,
Mileshkin
L
,
Harnett
P
,
Millward
M
, et al
Pamiparib in combination with tislelizumab in patients with advanced solid tumours: results from the dose-escalation stage of a multicentre, open-label, phase 1a/b trial
.
Lancet Oncol
2019
;
20
:
1306
15
.
65.
Friedlander
M
,
Meniawy
T
,
Markman
B
,
Mileshkin
LR
,
Harnett
PR
,
Millward
M
, et al
A phase 1b study of the anti-PD-1 monoclonal antibody BGB-A317 (A317) in combination with the PARP inhibitor BGB-290 (290) in advanced solid tumors
.
J Clin Oncol
35:15s, 
2017
(suppl; abstr 48).
66.
Karzai
F
,
Madan
RA
,
Owens
H
,
Hankin
A
,
Couvillon
A
,
Houston
ND
, et al
A phase II study of the anti-programmed death ligand-1 antibody durvalumab (D; MEDI4736) in combination with PARP inhibitor, olaparib (O), in metastatic castration-resistant prostate cancer (mCRPC)
.
J Clin Oncol
35:6s, 
2017
(suppl; abstr 162).
67.
Konstantinopoulos
PA
,
Waggoner
SE
,
Vidal
GA
,
Mita
MM
,
Fleming
GF
,
Holloway
RW
, et al
TOPACIO/Keynote-162 (NCT02657889): a phase 1/2 study of niraparib + pembrolizumab in patients (pts) with advanced triple-negative breast cancer or recurrent ovarian cancer (ROC)—Results from ROC cohort
.
J Clin Oncol
36:15s, 
2018
(suppl; abstr 106).
68.
Vinayak
S
,
Tolaney
SM
,
Schwartzberg
LS
,
Mita
MM
,
McCann
GA-L
,
Tan
AR
, et al
TOPACIO/Keynote-162: Niraparib + pembrolizumab in patients (pts) with metastatic triple-negative breast cancer (TNBC), a phase 2 trial
.
J Clin Oncol
36:15s, 
2018
(suppl; abstr 2011).
69.
Disis
ML
,
Patel
MR
,
Pant
S
,
Hamilton
EP
,
Lockhart
AC
,
Kelly
K
, et al
Avelumab (MSB0010718C; anti-PD-L1) in patients with recurrent/refractory ovarian cancer from the JAVELIN solid tumor phase Ib trial: safety and clinical activity
.
J Clin Oncol
34;15s, 
2017
(suppl; abstr 5533).
70.
Fong
PC
,
Boss
DS
,
Yap
TA
,
Tutt
A
,
Wu
P
,
Mergui-Roelvink
M
, et al
Inhibition of poly(ADP-ribose) polymerase in tumors from BRCA mutation carriers
.
N Engl J Med
2009
;
361
:
123
34
.
71.
Gelmon
KA
,
Tischkowitz
M
,
Mackay
H
,
Swenerton
K
,
Robidoux
A
,
Tonkin
K
, et al
Olaparib in patients with recurrent high-grade serous or poorly differentiated ovarian carcinoma or triple-negative breast cancer: a phase 2, multicentre, open-label, non-randomised study
.
Lancet Oncol
2011
;
12
:
852
61
.
72.
Matulonis
UA
,
Shapira-Frommer
R
,
Santin
A
,
Lisyanskaya
AS
,
Pignata
S
,
Vergote
I
, et al
Antitumor activity and safety of pembrolizumab in patients with advanced recurrent ovarian cancer: interim results from the phase 2 KEYNOTE-100 study
.
J Clin Oncol
36:15s, 
2018
(suppl; abstr 5511).
73.
Sandhu
SK
,
Schelman
WR
,
Wilding
G
,
Moreno
V
,
Baird
RD
,
Miranda
S
, et al
The poly(ADP-ribose) polymerase inhibitor niraparib (MK4827) in BRCA mutation carriers and patients with sporadic cancer: a phase 1 dose-escalation trial
.
Lancet Oncol
2013
;
14
:
882
92
.
74.
Varga
A
,
Piha-Paul
SA
,
Ott
PA
,
Mehnert
JM
,
Berton-Rigaud
D
,
Morosky
A
, et al
Pembrolizumab in patients (pts) with PD-L1–positive (PD-L1+) advanced ovarian cancer: Updated analysis of KEYNOTE-028
.
J Clin Oncol
35:15s, 
2017
(suppl; abstr 5513).
75.
Konstantinopoulos
PA
,
Waggoner
S
,
Vidal
GA
,
Mita
M
,
Moroney
JW
,
Holloway
R
, et al
Single-arm phases 1 and 2 trial of niraparib in combination with pembrolizumab in patients with recurrent platinum-resistant ovarian carcinoma
.
JAMA Oncol
2019
;
5
:
1141
9
.